cuPARE: parametric reconstruction of curved fibres from glass fibre-reinforced composites

Tim Elberfeld, Bernhard Fröhler, Christoph Heinzl, Jan Sijbers, Jan De Beenhouwer

Research output: Contribution to journalArticlepeer-review

Abstract

A new framework for the parametric reconstruction of curved fibres from glass fibre-reinforced composite X-ray computed tomography data is proposed. It allows us to detect fibres in a fibre-reinforced polymer sample from a low-dose, low resolution computed tomography scan. An efficient curve representation is then used for each detected fibre, of which the parameters are estimated directly from few 2D high-resolution projection images. The framework is validated on both simulated and real data of glass fibre-reinforced polymers. The generated results demonstrate that it is robust to noise and requires less than 10 high-resolution projections to obtain reasonable fibre estimates. The method can also improve upon existing estimation frameworks relying on full 3D scans.

Original languageEnglish
Pages (from-to)648-667
Number of pages20
JournalNondestructive Testing and Evaluation
Volume38
Issue number4
DOIs
Publication statusPublished - 2023

Keywords

  • CT
  • fibres
  • glass fibre-reinforced polymer
  • Mathematical modelling
  • microstructure
  • optimization
  • X-ray computed tomography

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